Solutions — Shopping Malls
Turn mall traffic into asset, leasing and media decisions
Measure visitor traffic, understand shopper journeys and unlock new value across asset management, leasing, tenant relationships and retail media.
Digeiz transforms shopping malls into data-driven assets by turning visitor traffic into actionable analytics for the teams who run, commercialize and optimize the mall.
One analytics platform, multiple business outcomes
Digeiz helps operators create value across the full shopping mall organization.
Better asset performance
Understand how visitors move through the mall and optimize zones, destinations and circulation.
Better commercial decisions
Use objective traffic data to support tenant discussions and leasing strategy.
Better tenant relationships
Equip centre managers with actionable insights for weekly operational conversations.
Better media monetization
Turn mall audience into measurable retail media inventory.
Mall analytics used by four key teams: Asset / Leasing / Media / Centre Management
Shopping mall operators rely on visitor analytics to support decisions across multiple teams with different responsibilities. Digeiz provides a common analytics foundation that serves four key functions across the organization.
Optimize the long-term performance and value of the shopping mall asset.
Asset teams need a clear view of how visitors circulate through the mall in order to understand destination performance, evaluate the role of anchors and identify opportunities to improve the asset.
- Which areas of the mall attract the most visitors?
- How do visitors penetrate the mall from each gate?
- What is the role of anchor stores and locomotives in traffic distribution?
- Evaluate the performance of key mall zones
- Identify underperforming destinations
- Understand the role of anchors and hypermarkets
- Optimize circulation and space planning
- Compare traffic structures across assets
- Traffic by zone / heatmaps
- Origin-destination flows
- Entrance performance
- Vertical circulation usage
- Dwell time by zone
Optimize tenant mix and support rent negotiations with objective traffic data.
Leasing teams need store-level and zone-level analytics to understand which locations generate value, compare store performance and support commercial discussions with tenants.
- Which stores underperform compared with their location?
- What traffic passes in front of a storefront?
- Which categories perform best in each zone?
- Refine tenant mix
- Identify top and low-performing stores
- Support lease renewal and rent discussions
- Compare categories and branch levels
- Evaluate store location quality
- Help attract new tenants with objective traffic data
- Store visits / storefront traffic
- Capture rate
- Cross-visits
- Dwell time in store-zone
- Category comparison
- Historical traffic evolution
Example insight: A store can be evaluated not only on visits, but on its ability to capture passing traffic and compare against nearby stores or category benchmarks.
Monetize mall audience through data-driven retail media.
Retail media teams need audience analytics to build better media inventory, qualify audience segments and measure campaign performance.
- What type of audience is exposed to each screen or zone?
- How should campaigns be priced?
- Which campaigns drive store visits or category uplift?
- Manage media inventory
- Build audience planning catalogues
- Price campaigns based on audience quality
- Optimize campaign launch and reporting
- Develop data-driven DOOH and programmatic offers
- Reach / repeat
- Audience segmentation
- Support-zone traffic
- Campaign exposure
- Destination lift
- Campaign performance against target audience
Audience measurement and campaign metrics produced by Digeiz are validated by an independent CESP audit — providing media teams with certified data to present to occupiers and agencies.
Monitor and improve the weekly operational performance of the mall and support tenant dialogue.
Shopping centre managers are in direct contact with tenants and need simple, operational analytics to understand how the mall is functioning week after week. They need to be able to explain traffic dynamics clearly, identify strong and weak areas, and show how visitors flow into and through the mall.
- What are the top-performing stores in terms of footfall?
- Where do visitors go after entering through each entrance?
- How does footfall distribute across the mall by day or week?
- Prepare weekly tenant discussions
- Explain traffic performance to retailers
- Identify top and bottom stores
- Understand where traffic from each entrance goes
- Monitor changes in daily / weekly performance
- Highlight strong and weak traffic corridors
- Top / bottom store rankings
- Entrance-to-destination flows
- Daily and weekly traffic views
- Zone rankings
- Flow maps from mall entrances
- Top destinations after each entrance
Trusted by leading shopping malls
Digeiz is already deployed in major shopping centers across Europe and analyzes hundreds of millions of annual visits.
Typical use cases for mall operators
Support a tenant discussion with objective store traffic and storefront capture data.
Show how visitors entering through a specific gate distribute across the mall.
Identify which mall zones need attention based on footfall and dwell time.
Build a campaign offer using audience, reach and destination data.
Benchmark top and bottom stores weekly for operational follow-up.
Turn mall traffic into actionable decisions
Give every team — asset, leasing, media and centre management — the analytics they need to understand how the mall performs and where value can be created.